Data Science Analyst

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Data Science Analyst

Place of Performance: NOAA HQ, Silver Spring, MD

Line Office: NOAA NOS IOOS

Salary based on Experience

Previous NOAA Experience and CAC Preferred

 Minimum Qualifications:

  • Bachelor’s degree in natural sciences and minimum 5 years of relevant experience

Desired Knowledge/Skills:

  • Project leadership; ability to manage and coordinate large tasks
  • Written and oral communication skills; ability to coordinate with internal and external partners
  • Ocean/Geo sciences education OR experience
  • Balanced skill set - some programming, some program/project management or coordination - i.e. not too much of one thing
  • Python/R programming familiarity and/or data analysis/data management experience

 

Primary Tasks:

1) Support integration of biological data management efforts into routine DMAC work.  Towards this end, serve as MBON Portal and biological data and products liaison with Axiom, MBON, IOOS Regional Associations, OBIS, and other cross-NOAA and external partners. 

  • Address DMAC-related questions around development of data portals and products related to IOOS biology (e.g. RA portals, MBON portal, MBON-ATN ‘unification’, IEA and Sanctuaries ‘interactive infographics’ and other web-enabled products) and how they relate to other IOOS portals and products.
  • Utilize strong knowledge of data and metadata format standards for biological, chemical, and physical ocean observations (e.g. Darwin Core, Ecological Metadata Language, ISO geospatial metadata standards, netCDF, Climate and Forecast Conventions) to provide project management support and coordination of efforts by external partners to ingest oceanographic and biological observation data into desktop analysis tools and web based data management and dissemination platforms.
  • Guide development of documentation, example scripts, Python notebooks and other training materials to enable data providers to format biological/biodiversity data in standard formats for ingestion into IOOS and partner Biological data management infrastructures (e.g. MBON Portal, Regional Association Data Portals, Animal Telemetry Network Data Assembly Center, Ocean Biogeographic Information System)

2) Demonstrate our products/services to IOOS users. Outreach to users to demonstrate IOOS tools and platforms, and solicit user requirements for additional access capabilities and functionality.  Assist users in integrating IOOS data and services into scientific analyses, software tools, desktop platforms, or any other downstream uses.  Users include (but are not limited to) NOAA groups, users identified in metrics analyses of IOOS products, the scientific community...

3) NCEI Coordination.  Monitor and provide technical support on RA data archiving with the National Centers for Environmental Information (NCEI). New data streams that are archive-ready need attention/work from NCEI, and require someone in IOOS to coordinate NCEI and RA DMAC reps.  Monitor and provide technical support on RA and other partner data archiving activities with NCEI.  Support routine IOOS/MBON/OBIS/NCEI partnership calls and make recommendations about how to integrate biological data management efforts into routine NCEI coordination.

4) Make recommendations for integration of biodiversity information with animal telemetry information, and demonstrate ways to visualize those data in IOOS Portals.  Demonstrate in the MBON Portal - perhaps as a visualization or curated data view - how Ocean Tracking Network (OTN), Animal Telemetry Network (ATN) and MBON information can co-occur on one platform.  Axiom has the data to do overlays of tracks with biodiversity and other data, including physical properties, etc. and MBON partners have questions of relevance to users (eg Fishery Management Councils, AtlantOS) that would benefit from this demonstration.

5) Provide guidance to external partners that are testing data ingestion and dissemination tools and platforms by utilizing knowledge of programming languages and data management to test for functionality, to identify areas for improvement, and to provide demonstrations and examples that serve as teaching aids for new users.  Interact with users to demonstrate these tools and platforms and solicit user needs for access and functionality.  Work closely with software engineers to provide guidance on product and tool development, providing the user perspective and illustrative examples for use in software documentation.  Document new user requirements, defects and enhancements discovered in testing and received from users.

6) Quantify usage, and users of IOOS dataAnalyze data usage of IOOS products, pull together notable metrics, identify key users, and ultimately determine who is using our products and services, and for what purpose. Communicate this usage.  

Location: Silver Spring, MD
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